CN114300159A - Method, apparatus, device and medium for generating a medication alert signal - Google Patents
Method, apparatus, device and medium for generating a medication alert signal Download PDFInfo
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- CN114300159A CN114300159A CN202111646779.0A CN202111646779A CN114300159A CN 114300159 A CN114300159 A CN 114300159A CN 202111646779 A CN202111646779 A CN 202111646779A CN 114300159 A CN114300159 A CN 114300159A
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
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- G16H70/40—ICT specially adapted for the handling or processing of medical references relating to drugs, e.g. their side effects or intended usage
Abstract
The embodiment of the present specification provides a method for generating a drug alert signal, which is characterized by comprising: determining the category of a target drug in a preset drug classification system and indication related to adverse reaction description of the drug; acquiring categories in a preset medicine classification system and the number of adverse reaction reports corresponding to the indications; generating a medication alert signal corresponding to the adverse reaction description for the target medication based on a ratio imbalance measurement method using the adverse reaction report quantity. And obtaining the association relation between the medicine and the adverse reaction through the medicine warning signal. Through the technical method, researchers can calculate the drug warning signal more quickly and accurately to prepare for subsequent analysis.
Description
Technical Field
The specification relates to the technical field of computer data processing, in particular to a medicine warning signal child
Background
The pharmacovigilance signal is calculated using statistical analysis of all or a time dimension of the adverse reaction reports. The same type of medicine may cause the same adverse reaction or the same type of indication patients taking the medicine may have the same complications and other factors, and professional personnel are required to carry out manual analysis and excavation. Adverse reactions are reported in hundreds of millions, and thus require extensive calculations, time and effort, to obtain a pharmacovigilance signal for a particular drug.
Disclosure of Invention
In view of the above, embodiments of the present specification aim to provide a method, apparatus, device and storage medium for generating a vigilance medication signal, which can calculate a vigilance medication signal more accurately.
An embodiment of the present specification provides a method for generating a medication alert signal, including: determining the class of the target drug in a preset drug classification system as a target class; wherein the target class includes a plurality of drugs therein; obtaining adverse reaction descriptions related to the drugs in the target category and the number of adverse reaction reports corresponding to the adverse reaction descriptions; generating a medication alert signal corresponding to the adverse reaction description for the target medication based on a ratio imbalance measurement method using the adverse reaction report quantity.
An embodiment of the present specification provides a method for generating a medication alert signal, including: acquiring adverse reaction description of indication related to drugs and adverse reaction report number corresponding to the adverse reaction description; wherein the adverse reaction profile indicates an adverse reaction following administration of the drug to a patient suffering from the disease indicated by the indication; the indication relates to drugs comprising target drugs; generating a medication alert signal corresponding to the adverse reaction description for the target medication based on a ratio imbalance measurement method using the adverse reaction report quantity.
An embodiment of the present specification provides a medication alert signal generating apparatus, including: the determining module is used for determining the class of the target drug in a preset drug classification system as a target class; wherein the target class includes a plurality of drugs therein; the acquisition module is used for acquiring adverse reaction descriptions related to the drugs in the target category and the number of adverse reaction reports corresponding to the adverse reaction descriptions; a generating module for generating a medication alert signal corresponding to the adverse reaction description for the target medication based on a ratio imbalance measurement method using the adverse reaction report quantity.
An embodiment of the present specification provides a medication alert signal generating apparatus, including: the acquisition module is used for acquiring adverse reaction description of indication related to medicines and the number of adverse reaction reports corresponding to the adverse reaction description; wherein the adverse reaction profile indicates an adverse reaction following administration of the drug to a patient suffering from the disease indicated by the indication; the indication relates to drugs comprising target drugs; a generating module for generating a medication alert signal corresponding to the adverse reaction description for the target medication based on a ratio imbalance measurement method using the adverse reaction report quantity.
The embodiment of the specification provides a computer device, which comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the method of the embodiment when executing the computer program.
The present specification embodiments propose a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of the embodiments.
The implementation mode of the specification realizes the purpose of rapidly obtaining the drug warning signal by determining the class of the target drug in the preset drug classification system and obtaining the adverse reaction description of the indication related to the drug, and achieves the effect of improving the judgment of the incidence relation between the drug and the adverse reaction.
Drawings
FIG. 1 is a diagram illustrating different peer interactions in an example scenario provided by an embodiment.
FIG. 2 is a diagram illustrating different peer interactions in an example scenario provided by an embodiment.
FIG. 3 is a diagram illustrating a client in an example scenario provided by an embodiment.
FIG. 4 is a diagram illustrating a client in an example scenario provided by an embodiment.
FIG. 5 is a diagram illustrating a client in an example scenario provided by an embodiment.
FIG. 6 is a diagram illustrating method steps in one example scenario provided by an embodiment.
FIG. 7 is a diagram illustrating method steps in one example scenario provided by an embodiment.
Fig. 8 is a schematic diagram of an apparatus in an example scenario provided by an embodiment.
Fig. 9 is a schematic diagram illustrating an apparatus according to an exemplary scenario provided in an embodiment.
FIG. 10 is a functional diagram of an electronic device according to an embodiment.
Detailed Description
In order to make the technical solution of the present invention better understood, the technical solution of the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments of the present invention. All other embodiments obtained by a person of ordinary skill in the art without any inventive work based on the embodiments in the present specification belong to the protection scope of the present specification.
Please refer to fig. 1 and fig. 2. The present specification provides a scenario example of a method for generating a medication alert signal. The medication alert signal generation method may be applied to a system including a client and a server. In the process of generating a drug alert signal, a user inputs a drug name at a client, and whether the drug and the adverse reaction are related is expected to be obtained.
Please refer to fig. 3. The user inputs a medicine name 'clobazam' at the client, and whether the expected 'clobazam' is related to the corresponding adverse reaction or not is judged. And clicking a search control of the client by the user, and sending the processing request to the server by the client.
The server receives the request and searches the database for the information related to the Lombazh. "clobazam" can be classified in the Anatomical Therapeutic and Chemical classification system (ATC) as "ATC-1N: nervous system "," ATC-2N 03: antiepileptic drug "," ATC-3N 03A: antiepileptic drug "," ATC-4N03 AE: benzodiazepine derivative "," ATC-2N 05: antidepressant drugs "and" ATC-31N 05B: anxiolytic "class 6. "Lombapin" related indications include "headache", "convulsive seizures", "cerebral palsy", "neuroleptic malignant syndrome", "abuse children" and "hypoxic seizures" category 6.
The server respectively acquires the medicines, the adverse reactions and the corresponding adverse reaction report numbers related to the 6 types of the ACT classification of the Lombaacco, and the server respectively acquires the medicines, the adverse reactions and the corresponding adverse reaction report numbers related to the 6 types of the related indications of the Lombaacco. Based on a Ratio imbalance analysis method, generating a Proportional Report Ratio method signal (PRR), a Report Ratio method signal (ROR) or a Bayesian decision interval progressive Neural Network method signal (BCPNN) or a Gamma Poisson distribution reduction method (GPS) of the 'Lobaban' to each adverse reaction.
In the case that each signal value is greater than a set threshold value, the target drug is considered to be associated with an adverse reaction represented by the corresponding adverse reaction description; in other cases, it is considered that the target drug may not be associated with an adverse reaction represented by the corresponding adverse reaction description.
Please refer to fig. 4. The server returns the result to the client, and the client displays that when the classification hierarchy of the Lobaba belongs to the ATC-1N: when the nervous system is 'in progress,' mitochondrial DNA mutation 'as an adverse reaction occurs, and corresponding drug warning signals are' PRR: 823. ROR: 828 and BCPNN: 4.45 ' and each signal value is larger than a set threshold value, judging that the adverse reaction of the ' clobazam ' and the ' mitochondrial DNA mutation ' is possibly related. "
When the classification hierarchy of the "clobazam" belongs to the "ATC-1N: in the nervous system, adverse reaction of ' brain lobectomy ' occurs, and corresponding drug warning signals are ' PRR: 333. ROR: 334 and BCPNN: 2.3, if the BCPNN signal value is smaller than a set threshold value, judging that the adverse reaction of the Lombarson and the cerebral lobectomy is probably unrelated. "
Please refer to fig. 5. The client displays that when the indication of the "clobazam" is the headache, the adverse reaction of the "acute otitis media" can occur, and the corresponding medicine warning signals are respectively' PRR: 1853. ROR: 1952 and BCPNN: 1.20 ' and each signal value is larger than a set threshold value, and the adverse reaction of the ' Lombap ' and the ' acute otitis media ' is judged to be possibly related. "
The client displays that when the indication information of the clobazam is ' headache ', the adverse reaction of ' oropharyngeal pain ' can occur, and the corresponding drug alert signals are ' PRR: 158. ROR: 125 and BCPNN: 1.2 ', the PRR and ROR signal values are smaller than the set threshold value, and the adverse reaction of the ' Lombalance ' and the ' oropharyngeal pain ' is judged to be possibly unrelated. "
The above description is only exemplary of the present disclosure and should not be construed as limiting the present disclosure, and any modifications, equivalents and the like that are within the spirit and principle of the present disclosure are intended to be included within the scope of the present disclosure.
The embodiment of the specification provides a display system for generating a drug alert signal, which comprises a client and a server. The client may be an electronic device with network access capabilities. Specifically, for example, the client may be a desktop computer, a tablet computer, a notebook computer, a smart phone, a digital assistant, a smart wearable device, a shopping guide terminal, a television, a smart speaker, a microphone, and the like. Wherein, wearable equipment of intelligence includes but not limited to intelligent bracelet, intelligent wrist-watch, intelligent glasses, intelligent helmet, intelligent necklace etc.. Alternatively, the client may be software capable of running in the electronic device. The server may be an electronic device having a certain arithmetic processing capability. Which may have a network communication module, a processor, memory, etc. Of course, the server may also refer to software running in the electronic device. The server may also be a distributed server, which may be a system with multiple processors, memory, network communication modules, etc. operating in coordination. Alternatively, the server may also be a server cluster formed by several servers. Or, with the development of scientific technology, the server can also be a new technical means capable of realizing the corresponding functions of the specification implementation mode. For example, it may be a new form of "server" implemented based on quantum computing.
Please refer to fig. 6. The embodiment of the specification provides a method for generating a drug alert signal, which can be applied to a client and a server. The method may comprise the following steps.
S110: determining the class of the target drug in a preset drug classification system as a target class; wherein the target class includes a plurality of drugs therein.
The target drug may be a drug input by the user, or may be a drug for which the user wishes to have an adverse reaction result; the preset drug classification system can be an anatomical therapeutics and chemistry classification system which can classify drugs into 5 grades; the target class may be the respective level to which the target drug belongs in the preset drug taxonomy. For example, "clobazam" can be classified in the anatomically therapeutic and chemical classification system as "ATC-1N: nervous system "," ATC-2N 03: antiepileptic drug "," ATC-3N 03A: antiepileptic drug "," ATC-4N03 AE: benzodiazepine derivative "," ATC-2N 05: antidepressant drugs "and" ATC-31N 05B: anxiolytic "class 6.
S120: obtaining adverse reaction description related to the drug in the target category and adverse reaction report quantity corresponding to the adverse reaction description.
The adverse reaction description to which the drug in the target class relates may be the adverse reaction names of all drugs in the target class recorded in the database. For example, "clobazam" can be classified in the anatomically therapeutic and chemical classification system as "ATC-1N: nervous System time, "ATC-1N: the nervous system "involved adverse reactions can be described as" mitochondrial DNA mutations, shallow nasolabial sulcus, lymphangiosarcoidosis and cholestasis during pregnancy ".
S130: and generating a drug alert signal corresponding to the adverse reaction description of the target drug based on a ratio imbalance analysis method by using the adverse reaction report quantity.
The ratio imbalance measurement method can be used for determining that a certain drug is associated with a certain adverse reaction if a numerical value obtained by the ratio imbalance measurement method is larger than a threshold value through the ratio of the amount of adverse reaction data related to the certain drug in an adverse reaction report to other adverse reaction data caused by other drugs; the drug warning signal generated by the target drug corresponding to the adverse reaction description based on the ratio imbalance analysis method can be a ratio imbalance analysis method signal, a Bayesian discrimination interval progressive neural network method signal or a gamma Poisson distribution subtraction signal. The ratio imbalance analysis signal may be a proportional reporting ratio signal or a reporting ratio signal.
For example, the classification hierarchy of "clobazam" belongs to "ATC-1N: in the nervous system, adverse reaction of ' nasal labial sulcus shallowness ' can occur, and corresponding drug alert signals are ' PRR: 2002. ROR: 2004 and BCPNN: 0.85 percent, each signal value is larger than a set threshold value, and the adverse reaction of the chlorambu and the shallow nasolabial sulcus is judged to be possibly related. "
By obtaining the categories of the target drugs in a preset drug classification system, counting the number of adverse reaction reports of the drugs in each category, and generating a drug warning signal of the target drugs corresponding to the adverse reaction description based on a ratio imbalance measurement method, a user can know whether the target drugs and the target adverse reactions are related or not.
In some embodiments, the number of target categories is a plurality; correspondingly, the step of obtaining the adverse reaction description related to the drug in the target category and the number of adverse reaction reports corresponding to the adverse reaction description comprises the following steps: respectively obtaining adverse reaction descriptions related to the drugs in a plurality of target categories and the number of adverse reaction reports corresponding to the adverse reaction descriptions; correspondingly, generating a drug alert signal corresponding to the adverse reaction description for the target drug comprises: generating a pharmacovigilance signal for the target drug corresponding to the adverse reaction profile based on ratio imbalance measurements using the adverse reaction report number corresponding to each target class, respectively.
The number of target classes is a plurality of classes that can be drugs that can be in an anatomically therapeutic and chemical classification system. For example, the "sodium monofluorophosphate" drugs are in 5 classes of the anatomically therapeutic and chemical classification system: "A digestive tract and metabolism; a01 oral medications; a01A oral medications; a01AA preventive agent for dental caries; a01AA02 sodium monofluorophosphate ".
The target category of the target drug can comprise a plurality of drugs, and the number of adverse reactions recorded in each drug is counted. Searching for separately generating a pharmacovigilance signal for the target drug corresponding to the adverse reaction profile based on a ratio imbalance measurement method may include calculating using a target adverse reaction report quantity for the target drug, other adverse reaction report quantities for the target drug, target adverse reaction report quantities for other drugs of the target class, and other adverse reaction report quantities for other drugs of the target class.
And the drug warning signal of the target class where the target drug is located is calculated, so that the analysis dimension of signal detection is increased, and the efficiency is improved. The target categories of the target drugs are classified, so that the association between the target drugs and the target adverse reactions can be more accurately analyzed, and the user can perform subsequent processing.
In some embodiments, the method further comprises: in the event that the signal value of the drug alert signal is greater than a set threshold value, the target drug is deemed to be associated with an adverse reaction represented by the corresponding adverse reaction description.
The threshold may be a value of the drug alert signal and may be a threshold value that determines whether a drug is associated with an adverse reaction. The existence of the correlation between the target drug and the corresponding adverse reaction represented by the adverse reaction description can be that the target drug has a large probability of causing the corresponding adverse reaction description and needs attention of researchers. For example, if the lower limit of the 95% confidence interval of the value of the ROR drug alert signal PRR of the "acute renal failure" adverse reaction of the "armillarisin" drug is greater than 1, the adverse reaction of the "acute renal failure" which is considered to occur with high probability by the person taking the "armillarisin" drug needs to be noticed by researchers.
Please refer to fig. 7. The embodiment of the specification provides a method for generating a drug alert signal, which can be applied to a client and a server. The method may comprise the following steps.
S210: acquiring adverse reaction description of indication related to drugs and adverse reaction report number corresponding to the adverse reaction description; wherein the adverse reaction profile indicates an adverse reaction following administration of the drug to a patient suffering from the disease indicated by the indication; the indication relates to medicines comprising target medicines.
The indication may be a disease that the patient suffered from before taking the target drug. The adverse reaction description may be the generic name for the adverse reaction. For example, a patient takes "clobazam" in the case of a "headache," a drug that is used as an adjunct treatment for adult epilepsy. In this case, the "headache" may be an indication of "clobazam" involving an adverse reaction profile of the drug.
S220: generating a medication alert signal corresponding to the adverse reaction description for the target medication based on a ratio imbalance measurement method using the adverse reaction report quantity.
The drug warning signal generated by the target drug corresponding to the adverse reaction description based on the ratio imbalance analysis method can be a ratio imbalance analysis method signal, a Bayesian discrimination interval progressive neural network method signal or a gamma Poisson distribution subtraction signal. The ratio imbalance analysis signal may be a proportional reporting ratio signal or a reporting ratio signal.
By obtaining the adverse reaction report of the indication of the target drug, counting the number of the adverse reaction reports of the drugs in each category, and generating a drug warning signal describing the adverse reaction of the target drug corresponding to the indication based on a ratio imbalance measurement method, a user can know whether the target drug and the target adverse reaction are related or not, and the method can calculate the risk of the adverse reaction more accurately so as to perform subsequent treatment on the drugs and optimize the drugs.
In some embodiments, the number of indications is multiple; correspondingly, the step of acquiring the indication of adverse reaction description related to the medicine and the number of adverse reaction reports corresponding to the adverse reaction description comprises the following steps: respectively obtaining adverse reaction descriptions of a plurality of indications related to the medicine and adverse reaction report numbers corresponding to the adverse reaction descriptions; correspondingly, generating a drug alert signal corresponding to the adverse reaction description for the target drug comprises: separately generating a pharmacovigilance signal for the target drug corresponding to the adverse reaction profile based on ratio imbalance measurements using the adverse reaction report quantity for each indication relating to the drug, respectively.
For example, where the target drug is "clobazam", the patient taking "clobazam" may be indicated by categories 6 "headache", "convulsive seizures", "cerebral palsy", "neuroleptic malignancy syndrome", "abuse children" and "hypoxic seizures". When "headache" is selected for the indication, the server can calculate "headache" as the adverse reaction description of "clobazam" for "acute otitis media, elevated C-reactive protein and oropharyngeal pain". Based on the ratio imbalance measurement method, the server can respectively calculate a drug warning signal which causes adverse reaction when a patient suffering from acute otitis media takes the clobazam, a drug warning signal which causes adverse reaction when a patient suffering from C-reactive protein elevation takes the clobazam and a drug warning signal which causes adverse reaction when a patient suffering from oropharyngeal pain takes the clobazam. Researchers can modify the drug depending on the patient's indications.
Please refer to fig. 8. An embodiment of the present specification provides a medication alert signal generating apparatus, including: the device comprises a determining module, an obtaining module and a generating module.
The determining module is used for determining the class of the target drug in a preset drug classification system as a target class; wherein the target class includes a plurality of drugs therein;
the acquisition module is used for acquiring adverse reaction descriptions related to the drugs in the target category and the number of adverse reaction reports corresponding to the adverse reaction descriptions;
a generating module for generating a medication alert signal corresponding to the adverse reaction description for the target medication based on a ratio imbalance measurement method using the adverse reaction report quantity.
Please refer to fig. 9. An embodiment of the present specification provides a medication alert signal generating apparatus, including: the device comprises an acquisition module and a generation module.
The acquisition module is used for acquiring adverse reaction description of indication related to medicines and the number of adverse reaction reports corresponding to the adverse reaction description; wherein the adverse reaction profile indicates an adverse reaction following administration of the drug to a patient suffering from the disease indicated by the indication; the indication relates to drugs comprising target drugs;
a generating module for generating a medication alert signal corresponding to the adverse reaction description for the target medication based on a ratio imbalance measurement method using the adverse reaction report quantity.
Please refer to fig. 10. In some embodiments, a computer device may be provided, comprising a memory having a computer program stored therein and a processor that implements the method steps of the embodiments when executing the computer program.
In some embodiments, a computer-readable storage medium may be provided, on which a computer program is stored, which when executed by a processor implements the method steps in the embodiments. The specific functions and effects achieved by the extraction device for data in medical information can be explained by referring to other embodiments in this specification, and are not described herein again. All or part of the modules in the medical information data extraction device can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In some embodiments, a computer device may be provided, comprising a memory having a computer program stored therein and a processor that implements the method steps of the embodiments when executing the computer program.
In some embodiments, a computer-readable storage medium may be provided, on which a computer program is stored, which when executed by a processor implements the method steps in the embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments may be implemented by hardware instructions of a computer program, which may be stored in a non-volatile computer-readable storage medium, and when executed, may include processes of the embodiments of the methods. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The description is made in a progressive manner among the embodiments of the present specification. The different embodiments focus on the different parts described compared to the other embodiments. After reading this specification, one skilled in the art can appreciate that many embodiments and many features disclosed in the embodiments can be combined in many different ways, and for the sake of brevity, all possible combinations of features in the embodiments are not described. However, as long as there is no contradiction between combinations of these technical features, the scope of the present specification should be considered as being described.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In the present specification, the embodiments themselves are emphasized differently from the other embodiments, and the embodiments can be explained in contrast to each other. Any combination of the embodiments in this specification based on general technical common knowledge by those skilled in the art is encompassed in the disclosure of the specification.
The above description is only an embodiment of the present disclosure, and is not intended to limit the scope of the claims of the present disclosure. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present application shall be included in the scope of the claims of the present application.
Claims (13)
1. A method of generating a pharmacovigilance signal, the method comprising:
determining the class of the target drug in a preset drug classification system as a target class; wherein the target class includes a plurality of drugs therein;
obtaining adverse reaction descriptions related to the drugs in the target category and the number of adverse reaction reports corresponding to the adverse reaction descriptions;
using the adverse reaction report quantity to generate a drug alert signal corresponding to the adverse reaction description for the target drug based on a ratio imbalance analysis method.
2. The method of claim 1, wherein the number of target classes is plural;
correspondingly, the step of obtaining the adverse reaction description related to the drug in the target category and the number of adverse reaction reports corresponding to the adverse reaction description comprises the following steps:
respectively obtaining adverse reaction descriptions related to the drugs in a plurality of target categories and the number of adverse reaction reports corresponding to the adverse reaction descriptions;
correspondingly, generating a drug alert signal corresponding to the adverse reaction description for the target drug comprises:
generating a pharmacovigilance signal for the target drug corresponding to the adverse reaction profile based on ratio imbalance measurements using the adverse reaction report number corresponding to each target class, respectively.
3. The method of claim 2, wherein the ratio imbalance analysis method comprises at least one of: a ratio imbalance measurement method, a Bayesian neural network information component method and a gamma Poisson reduction method; wherein, the ratio imbalance measurement method at least comprises one of the following steps: a proportional reporting ratio signal, a reporting ratio signal.
4. The method of claim 1, further comprising:
in the event that the signal value of the drug alert signal is greater than a set threshold value, the target drug is deemed to be associated with an adverse reaction represented by the corresponding adverse reaction description.
5. The method of claim 1, wherein the predetermined drug classification system comprises an anatomically therapeutic and chemical classification system, and the target classes comprise classes at different levels.
6. A method of generating a pharmacovigilance signal, the method comprising:
acquiring adverse reaction description of indication related to drugs and adverse reaction report number corresponding to the adverse reaction description; wherein the adverse reaction profile indicates an adverse reaction following administration of the drug to a patient suffering from the disease indicated by the indication; the indication relates to drugs comprising target drugs;
generating a medication alert signal corresponding to the adverse reaction description for the target medication based on a ratio imbalance measurement method using the adverse reaction report quantity.
7. The method of claim 6, wherein the number of indications is plural;
correspondingly, the step of acquiring the indication of adverse reaction description related to the medicine and the number of adverse reaction reports corresponding to the adverse reaction description comprises the following steps:
respectively obtaining adverse reaction descriptions of a plurality of indications related to the medicine and adverse reaction report numbers corresponding to the adverse reaction descriptions;
correspondingly, generating a drug alert signal corresponding to the adverse reaction description for the target drug comprises:
separately generating a pharmacovigilance signal for the target drug corresponding to the adverse reaction profile based on ratio imbalance measurements using the adverse reaction report quantity for each indication relating to the drug, respectively.
8. The method according to claim 7, wherein the pharmacovigilance signal comprises at least one of: proportional report ratio method signal, report ratio method signal or Bayesian discriminant interval progressive neural network method signal.
9. The method of claim 6, further comprising:
in the event that the signal value of the drug alert signal is greater than a set threshold value, the target drug is deemed to be associated with an adverse reaction represented by the corresponding adverse reaction description.
10. A medication alert signal generating apparatus comprising:
the determining module is used for determining the class of the target drug in a preset drug classification system as a target class; wherein the target class includes a plurality of drugs therein;
the acquisition module is used for acquiring adverse reaction descriptions related to the drugs in the target category and the number of adverse reaction reports corresponding to the adverse reaction descriptions;
a generating module for generating a medication alert signal corresponding to the adverse reaction description for the target medication based on a ratio imbalance measurement method using the adverse reaction report quantity.
11. A medication alert signal generating apparatus comprising:
the acquisition module is used for acquiring adverse reaction description of indication related to medicines and the number of adverse reaction reports corresponding to the adverse reaction description; wherein the adverse reaction profile indicates an adverse reaction following administration of the drug to a patient suffering from the disease indicated by the indication; the indication relates to drugs comprising target drugs;
a generating module for generating a medication alert signal corresponding to the adverse reaction description for the target medication based on a ratio imbalance measurement method using the adverse reaction report quantity.
12. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the method of any one of claims 1 to 9 when executing the computer program.
13. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method steps of any one of claims 1 to 9.
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